Simplify formatter update methodology
Don't expect values (array + slice) to be returned and applied by `.incr_update_xy_nd()` and instead presume this will implemented internally in each (sub)formatter. Attempt to simplify some incr-update routines, (particularly in the step curve formatter, though most of it was reverted to just a simpler form of the original implementation XD) including: - dropping the need for the `slice_to_head: int` control. - using the `xy_nd_start/stop` index counters over custom lookups.epoch_indexing_and_dataviz_layer
Tyler Goodlet
parent
696c6f8897
commit
166d14af69
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@ -272,15 +272,7 @@ class IncrementalFormatter(msgspec.Struct):
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profiler('allocated xy history')
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if prepend_len:
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y_prepend = shm._array[pre_slice]
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# if read_src_from_key:
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# y_prepend = y_prepend[array_key]
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(
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new_y_nd,
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y_nd_slc,
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) = self.incr_update_xy_nd(
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self.incr_update_xy_nd(
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shm,
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array_key,
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@ -290,7 +282,7 @@ class IncrementalFormatter(msgspec.Struct):
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# step curves) the updater routine may want to do
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# the source history-data reading itself, so we pass
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# both here.
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y_prepend,
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shm._array[pre_slice],
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pre_slice,
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prepend_len,
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@ -299,30 +291,16 @@ class IncrementalFormatter(msgspec.Struct):
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is_append=False,
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)
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# y_nd_view = self.y_nd[y_nd_slc]
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self.y_nd[y_nd_slc] = new_y_nd
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# if read_src_from_key:
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# y_nd_view[:][array_key] = new_y_nd
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# else:
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# y_nd_view[:] = new_y_nd
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# self.y_nd[y_nd_slc] = new_y_nd
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self.xy_nd_start = shm._first.value
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profiler('prepended xy history: {prepend_length}')
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if append_len:
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y_append = shm._array[post_slice]
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# if read_src_from_key:
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# y_append = y_append[array_key]
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(
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new_y_nd,
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y_nd_slc,
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) = self.incr_update_xy_nd(
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self.incr_update_xy_nd(
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shm,
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array_key,
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y_append,
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shm._array[post_slice],
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post_slice,
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append_len,
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@ -330,10 +308,6 @@ class IncrementalFormatter(msgspec.Struct):
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self.xy_nd_stop,
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is_append=True,
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)
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# self.y_nd[post_slice] = new_y_nd
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# self.y_nd[xy_slice or post_slice] = xy_data
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self.y_nd[y_nd_slc] = new_y_nd
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self.xy_nd_stop = shm._last.value
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profiler('appened xy history: {append_length}')
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@ -392,10 +366,10 @@ class IncrementalFormatter(msgspec.Struct):
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# update the last "in view data range"
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if len(x_1d):
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self._last_ivdr = x_1d[0], x_1d[slice_to_head]
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if (x_1d[-1] == 0.5).any():
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breakpoint()
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profiler('.format_to_1d()')
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if (x_1d[-1] == 0.5).any():
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breakpoint()
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return (
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x_1d,
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@ -451,10 +425,7 @@ class IncrementalFormatter(msgspec.Struct):
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is_append: bool,
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) -> tuple[
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np.ndarray,
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slice,
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]:
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) -> None:
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# write pushed data to flattened copy
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new_y_nd = new_from_src[data_field]
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@ -467,7 +438,7 @@ class IncrementalFormatter(msgspec.Struct):
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x_nd_new = self.x_nd[read_slc]
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x_nd_new[:] = new_from_src[index_field]
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return new_y_nd, read_slc
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self.y_nd[read_slc] = new_y_nd
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# XXX: was ``.format_xy()``
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def format_xy_nd_to_1d(
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@ -489,8 +460,8 @@ class IncrementalFormatter(msgspec.Struct):
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'''
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return (
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array[self.index_field],
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array[array_key],
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array[self.index_field][:-1],
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array[array_key][:-1],
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# 1d connection array or style-key to
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# ``pg.functions.arrayToQPath()``
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@ -675,10 +646,7 @@ class OHLCBarsFmtr(IncrementalFormatter):
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is_append: bool,
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) -> tuple[
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np.ndarray,
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slice,
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]:
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) -> None:
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# write newly pushed data to flattened copy
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# a struct-arr is always passed in.
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new_y_nd = rfn.structured_to_unstructured(
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@ -697,7 +665,7 @@ class OHLCBarsFmtr(IncrementalFormatter):
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if (self.x_nd[self.xy_slice] == 0.5).any():
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breakpoint()
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return new_y_nd, read_slc
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self.y_nd[read_slc] = new_y_nd
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class OHLCBarsAsCurveFmtr(OHLCBarsFmtr):
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@ -767,8 +735,10 @@ class StepCurveFmtr(IncrementalFormatter):
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# fill in (current) values from source shm buffer
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y_out[:] = out[:, np.newaxis]
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# TODO: pretty sure we can drop this?
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# start y at origin level
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y_out[self.xy_nd_start] = 0
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# y_out[0, 0] = 0
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# y_out[self.xy_nd_start] = 0
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return x_out, y_out
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def incr_update_xy_nd(
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@ -793,13 +763,29 @@ class StepCurveFmtr(IncrementalFormatter):
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# for a step curve we slice from one datum prior
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# to the current "update slice" to get the previous
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# "level".
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# if is_append:
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# start = max(last - 1, 0)
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# end = src_shm._last.value
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# new_y = src_shm._array[start:end][array_key]
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# append_slc = slice(start, end)
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last_2 = slice(
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read_slc.start,
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read_slc.stop+1,
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)
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y_nd_new = self.y_nd[last_2]
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y_nd_new[:] = src_shm._array[last_2][array_key][:, None]
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new_y = new_from_src[array_key][:, np.newaxis]
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# NOTE: we can't use the append slice since we need to "look
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# forward" one step to get the current level and copy it as
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# well? (though i still don't really grok why..)
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# y_nd_new[:] = new_from_src[array_key][:, None]
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# XXX: old approach now duplicated above (we can probably drop
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# this since the key part was the ``nd_stop + 1``
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# if is_append:
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# start = max(nd_stop - 1, 0)
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# end = src_shm._last.value
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# y_nd_new = src_shm._array[start:end][array_key]#[:, np.newaxis]
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# slc = slice(start, end)
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# self.y_nd[slc] = np.broadcast_to(
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# y_nd_new[:, None],
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# (y_nd_new.size, 2),
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# )
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index_field = self.index_field
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if index_field != 'index':
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@ -809,15 +795,6 @@ class StepCurveFmtr(IncrementalFormatter):
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if (self.x_nd[self.xy_slice][-1] == 0.5).any():
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breakpoint()
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return (
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new_y,
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# np.broadcast_to(
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# new_x[:, None],
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# (new_y.size, 2),
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# ),
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read_slc,
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)
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def format_xy_nd_to_1d(
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self,
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@ -833,11 +810,7 @@ class StepCurveFmtr(IncrementalFormatter):
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last_t, last = array[-1][[self.index_field, array_key]]
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start = self.xy_nd_start
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# 2 more datum-indexes to capture zero at end
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# XXX: can we drop this ``extra`` bit?
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extra = 2
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stop = self.xy_nd_stop + extra
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stop = self.xy_nd_stop
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x_step = self.x_nd[start:stop]
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y_step = self.y_nd[start:stop]
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@ -846,32 +819,44 @@ class StepCurveFmtr(IncrementalFormatter):
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# breakpoint()
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# pack in duplicate final value to complete last step level
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x_step[-1] = last_t
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y_step[-1] = last
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# x_step[-1] = last_t
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# y_step[-1] = last
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# x_step[-1, 1] = last_t
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y_step[-1, 1] = last
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# if y_step.any():
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# s = 3
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# print(
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# f'x_step:\n{x_step[-s:]}\n'
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# f'y_step:\n{y_step[-s:]}\n\n'
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# )
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# slice out in-view data
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ivl, ivr = vr
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# ys_iv = y_step[ivl:ivr+1]
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# xs_iv = x_step[ivl:ivr+1]
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ys_iv = y_step[ivl:ivr]
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xs_iv = x_step[ivl:ivr]
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# TODO: WHY do we need the extra +1 index?
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x_step_iv = x_step[ivl:ivr+1]
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y_step_iv = y_step[ivl:ivr+1]
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# flatten to 1d
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y_iv = ys_iv.reshape(ys_iv.size)
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x_iv = xs_iv.reshape(xs_iv.size)
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x_1d = x_step_iv.reshape(x_step_iv.size)
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y_1d = y_step_iv.reshape(y_step_iv.size)
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if (x_iv[-1] == 0.5).any():
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if not x_1d.size == y_1d.size:
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breakpoint()
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# s = 100
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# print(
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# f'ys_iv : {ys_iv[-s:]}\n'
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# f'y_iv: {y_iv[-s:]}\n'
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# f'xs_iv: {xs_iv[-s:]}\n'
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# f'x_iv: {x_iv[-s:]}\n'
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# )
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if x_1d.any() and (x_1d[-1] == 0.5).any():
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breakpoint()
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return x_iv, y_iv, 'all'
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# if y_1d.any():
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# s = 6
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# print(
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# f'x_step_iv:\n{x_step_iv[-s:]}\n'
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# f'y_step_iv:\n{y_step_iv[-s:]}\n\n'
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# f'x_1d:\n{x_1d[-s:]}\n'
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# f'y_1d:\n{y_1d[-s:]}\n'
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# )
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return x_1d, y_1d, 'all'
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def xy_downsample(
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